Responses application to monitor and predict crude oil distillation rate using pneumatic control system on a furnace

In this paper, mathematical model were developed to evaluate the different types of responses for monitoring and predicting the furnace output temperature of crude oil at various time intervals. Result obtain reveals increase in furnace output temperature with increase in coefficient of time for different input signal at constant time. Similarly, as the time increases, it is observed that the furnace output temperature increases as well as presented in this research work. At constant coefficient of time, it is observe that the furnace output temperature increases with increase in time for step input, ramp input, and impulse. The order of magnitude in terms output temperature is ramp input > step input > impulse at constant time coefficient of 10 s-1. The model developed was used principally to monitor and control the temperature of the crude oil entering the crude distillation column also to account for the effect of the variations in the finance fuel flow rate and the influence of the changes in the feed temperature and using the model dynamic open loop simulations are performed, and approximation based on parallel linear transfer function models are fitted to various input responses. The result obtained from the model was compared with existing furnace data of Nigerian Liquefied Natural Gas (NLNG) which indicates that step input response was used in the design of their furnace.